Evaluation of shoulder disability questionnaires used for the assessment of shoulder disability after neck dissection for head and neck cancer
Bibliographic record
Abstract
BACKGROUND: Several questionnaires have been used to evaluate shoulder disability after neck dissection. The purpose of this study was to review these measures and highlight their strengths and weaknesses. METHODS: A literature review was performed to identify measures of shoulder disability after head and neck cancer surgery. These measures were evaluated in terms of their methods of development and assessment of their psychometric properties. RESULTS: Seven questionnaires were identified. Several of the other questionnaires have been well developed but have not had their psychometric properties assessed in the head and neck cancer population. Each questionnaire has its strengths and weaknesses. CONCLUSION: The strengths and weaknesses of the shoulder disability questionnaires should be considered when deciding which questionnaire to use. Efforts should be focused on using well-designed questionnaires that have been assessed in this patient population rather than developing or using other questionnaires.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".